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Provenance Method of Electronic Archives Based on Knowledge Graph in Big Data Environment

Chun Xu1, Jiang Xu1,2,*

1 Nanjing University of Information Science & Technology, Nanjing, 210044, China
2 Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing, 210044, China

* Corresponding Author: Jiang Xu. Email: renyj100@126. com

Journal of Information Hiding and Privacy Protection 2021, 3(2), 91-99.


With the advent of the era of big data, the Provenance Method of electronic archives based on knowledge graph under the environment of big data has produced a large number of electronic archives due to the development of science and technology. How to guarantee the credential characteristics of electronic archives in the big data environment has attracted wide attention of the academic community. Provenance is an important technical means to guarantee the certification of electronic archives. In this paper, knowledge graph technology is used to provide the concept provenance of electronic archives in large data environment. It not only enriches the provenance method, but also guarantees the certification of electronic archives in the large data environment.


Cite This Article

C. Xu and J. Xu, "Provenance method of electronic archives based on knowledge graph in big data environment," Journal of Information Hiding and Privacy Protection, vol. 3, no.2, pp. 91–99, 2021.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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